# Amazon Search Results Scraper (`scrapecrafter/amazon-search-scraper`) Actor

Just $0.99 per 1,000 results — scrape Amazon search results for ASINs, titles, prices, ratings, reviews, rankings, sponsored products and more.

- **URL**: https://apify.com/scrapecrafter/amazon-search-scraper.md
- **Developed by:** [Debashish Biswas](https://apify.com/scrapecrafter) (community)
- **Categories:** E-commerce, Other, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.99 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Amazon Search Scraper — Python

A low-cost Amazon search-results Actor for Apify.

### Features

- Multiple search queries
- Multiple Amazon marketplaces
- Pagination
- Maximum result limit
- ASIN
- Product title
- Product URL
- Image URL
- Price and currency
- List price
- Rating
- Review count
- Search position
- Organic position
- Sponsored-product detection
- Prime detection
- Availability
- Delivery text
- Query/page/marketplace metadata
- ASIN deduplication
- Configurable concurrency and delay
- Apify Proxy input
- Pay-per-event billing per successful result

### Suggested launch price

Target: **$0.50 per 1,000 successful results**.

Create a Pay-per-event event:

- Event name: `result-item`
- Price: `$0.0005`

The code charges this event only when a successfully parsed product is pushed to the dataset.

### Recommended first test

```json
{
  "queries": ["wireless headphones"],
  "marketplace": "amazon.com",
  "maxPages": 1,
  "maxResults": 20,
  "sort": "relevance",
  "excludeSponsored": false,
  "deduplicate": true,
  "maxConcurrency": 2,
  "requestDelayMs": 1000,
  "maxRetries": 2
}
```

### Proxy

The Actor exposes Apify's `proxy` input editor. For cost testing, select an appropriate datacenter proxy group if available in your Apify account. Use residential proxies when Amazon blocking requires them.

### Local pay-per-event testing

```bash
pip install -r requirements.txt
ACTOR_TEST_PAY_PER_EVENT=true python -m src.main
```

The Apify Python SDK supports `Actor.push_data(..., charged_event_name="result-item")` for per-result charging.

# Actor input Schema

## `queries` (type: `array`):

Amazon search keywords. Each query is scraped independently.

## `marketplace` (type: `string`):

Amazon domain to search.

## `maxPages` (type: `integer`):

Maximum Amazon result pages to scrape for each query.

## `maxResults` (type: `integer`):

Maximum successfully extracted products across the run. Use 0 for no explicit result limit.

## `sort` (type: `string`):

Amazon search sorting method. Some options may vary by marketplace.

## `excludeSponsored` (type: `boolean`):

If enabled, sponsored products are excluded from the dataset.

## `deduplicate` (type: `boolean`):

If enabled, the same ASIN is returned only once across all queries and pages.

## `proxySettings` (type: `object`):

Apify Proxy configuration used by Crawlee for Amazon requests.

## `maxConcurrency` (type: `integer`):

Maximum number of Amazon search pages requested simultaneously.

## `requestDelayMs` (type: `integer`):

Delay in milliseconds before each Amazon page request.

## `maxRetries` (type: `integer`):

Maximum number of retry attempts after an Amazon request fails.

## Actor input object example

```json
{
  "queries": [
    "wireless headphones"
  ],
  "marketplace": "amazon.com",
  "maxPages": 1,
  "maxResults": 0,
  "sort": "relevance",
  "excludeSponsored": false,
  "deduplicate": true,
  "maxConcurrency": 2,
  "requestDelayMs": 1000,
  "maxRetries": 2
}
```

# Actor output Schema

## `results` (type: `string`):

No description

## `runSummary` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapecrafter/amazon-search-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("scrapecrafter/amazon-search-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call scrapecrafter/amazon-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapecrafter/amazon-search-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/eqtPWmovZ0G0w8Edf/builds/6Yg9ZIpnFmFsPZrD6/openapi.json